Qureos Mentor

United Arab Emirates University, Department of Family Medicine

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 Job Description
 
 
 
 Zayed Center for Health Sciences, United Arab Emirates University, invites applications for a Research Data Scientist to join the multidisciplinary team supporting the landmark prospective mother-and-child cohort study, the Mutaba'ah Study. The Mutaba'ah Study is the first and largest prospective mother-and-child cohort study in the United Arab Emirates. Established in 2017, the study follows more than 18,000 pregnancies and their children from pregnancy through infancy, childhood, and adolescence. The study provides a unique national platform for investigating the developmental origins of health and disease and generating evidence to improve maternal and child health policy and practice in the UAE and beyond. Position Overview The successful candidate will play a central role in the management, curation, integration, and analysis of large-scale epidemiological and healthcare datasets. The position offers an exciting opportunity to contribute to a nationally significant research infrastructure while working closely with epidemiologists, clinicians, biostatisticians, public health researchers, and artificial intelligence specialists. The Data Scientist will support the development of high-quality research datasets and reproducible data workflows that underpin a broad portfolio of scientific projects in maternal, neonatal, child, and population health. Key Responsibilities Under the supervision of the Principal Investigator and the project Data Manager, the successful candidate will: Data Management and Infrastructure
 
 
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 Manage, maintain, and enhance large longitudinal research databases and data repositories.
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 Develop and implement robust data quality assurance and validation procedures.
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 Integrate and harmonize data from multiple sources, including electronic medical records, questionnaires, laboratory systems, and research databases.
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 Support the development and maintenance of the study data warehouse and research databank infrastructure.
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 Ensure compliance with data governance, privacy, confidentiality, and security requirements. Data Processing and Analytics&middot; Perform data cleaning, transformation, validation, and preprocessing of large datasets.
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 Construct derived variables and analytical datasets according to predefined research protocols.
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 Develop reproducible workflows for data preparation and analysis.
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 Conduct descriptive analyses and generate reports, dashboards, tables, and visualizations.
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 Support advanced statistical, machine learning, and predictive modeling projects. Documentation and Research Support
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 Prepare and maintain data dictionaries, metadata repositories, data mapping documents, and standard operating procedures.
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 Support investigators, graduate students, and collaborators in accessing and utilizing study data.
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 Contribute to scientific outputs, including reports, conference presentations, and peer-reviewed publications.
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 Participate in multidisciplinary research meetings and project activities. What We Offer
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 Opportunity to work on one of the largest and most important population-based cohort studies in the Middle East.
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 A collaborative and multidisciplinary research environment.
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 Opportunities for professional development, scientific publications, and conference participation.
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 Exposure to cutting-edge research in epidemiology, public health, health informatics, and artificial intelligence applications in healthcare.
 
 
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 Minimum Qualification
 
 
 Bachelor's degree in:
 
 
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 Data Science
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 Computer Science
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 Health Informatics
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 Bioinformatics
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 Statistics/Epidemiology
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 or a closely related discipline.
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 Demonstrated experience working with large datasets.
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 Strong understanding of database management principles.
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 Familiarity with healthcare or biomedical data environments.
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 Knowledge of medical terminology is essential.
 
 
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 Preferred Qualification
 
 
 
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 Master's degree in Data Science, Health Informatics, Biostatistics, Epidemiology, Computer Science, or a related field.
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 Experience working in academic, healthcare, public health, or epidemiological research settings.
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 Experience supporting large cohort studies, registries, or clinical databases.
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 Experience with machine learning or predictive analytics.
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 Evidence of participation in scientific publications or research projects.
 
 
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 Expected Skills
 
 
 The ideal candidate will demonstrate: Technical Skills
 
 
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 Strong proficiency in Python and/or R.
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 Experience with SQL and relational database systems.
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 Working knowledge of Stata.
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 Experience with reproducible data analysis workflows.
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 Experience handling large and complex datasets.
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 Familiarity with Electronic Medical Record (EMR) systems.
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 Knowledge of clinical coding systems (ICD-9, ICD-10, SNOMED, or equivalent). Professional Skills
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 Excellent analytical and problem-solving abilities.
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 Exceptional attention to detail.
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 Strong organizational and project management skills.
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 Ability to work independently and manage multiple priorities.
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 Strong communication and interpersonal skills.
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 Commitment to data confidentiality, ethical research conduct, and data security.
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 Ability to collaborate effectively within multidisciplinary teams.
 
 
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 Special Instructions to Applicant
 
 
 Please submit:
 
 
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 Cover letter describing interest and suitability for the position.
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 Full curriculum vitae.
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 Contact of at least two referees,
 
 
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 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 31/08/2026
 
 
 Apply
 
 
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 Posting Number
 
 
 Position Number
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Research Data Scientist

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 Job Description
 
 
 
 Applications are invited for the post of Research Assistant on a 6-month contract to join the research project at the College of Medicine and Health Sciences, United Arab Emirates University. We are seeking a motivated and detail-oriented Research Assistant to support ongoing translational research projects bridging basic science and clinical application. The successful candidate will contribute to laboratory-based studies involving molecular biology techniques and animal models. This role is ideal for candidates interested in gaining hands-on experience in pre-clinical research and advanced laboratory methodologies.
 
 
 Minimum Qualification
 
 
 Applicants should have a master&rsquo;s degree in a related field.
 
 
 
 Preferred Qualification
 
 
 
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 Master&rsquo;s degree in biology, Biomedical Sciences, Biotechnology, or a related field
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 Hands-on experience with PCR, ELISA, or similar molecular techniques
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 Experience working with laboratory animals is highly desirable
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 Familiarity with microsurgical procedures or willingness to be trained
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 Strong organizational skills and attention to detail
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 Ability to work independently and collaboratively in a research team
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 Good written and verbal communication skills
 
 
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 Expected Skills
 
 
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 Perform routine and advanced molecular biology techniques, including:
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 Polymerase Chain Reaction (PCR) and quantitative PCR (qPCR)
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 Enzyme-Linked Immunosorbent Assay (ELISA)
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 Sample preparation, processing, and data recording
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 Conduct and assist with animal experiments in compliance with institutional and ethical guidelines:
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 Handling, monitoring, and care of laboratory animals
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 Performing procedures including injections, tissue collection, and microsurgical techniques
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 Maintain accurate and organized laboratory records, databases, and experimental logs
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 Assist in experimental design, data analysis, and interpretation of results
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 Ensure proper maintenance, calibration, and cleanliness of laboratory equipment
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 Follow all biosafety, chemical safety, and animal welfare regulations
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 Support preparation of reports, presentations, and manuscripts as needed
 
 
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 Salary Range
 
 
 4000 to 5000 AED based on Experinace
 
 
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 30/06/2026
 
 
 Apply
 
 
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Research Assistant

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 Job Description
 
 
 
 The NSSTC is looking to hire an electrical engineer to support the development of the NSSTC facility, to design and develop ground support and test equipment, and to create electro-mechanical hardware intended for both ground and space-based operation. You&rsquo;ll be working as part of a team designing and building CubeSats and Small Spacecraft. As an engineer you will be asked to perform a variety of tasks related to the development of projects within the NSSTC including (but not limited to) support of the facilities development; test equipment development; and design, analysis, assembly, test, and verification/validation of performance of ground and space-based hardware and software. The ability to work with students at UAE University as a mentor is required. Travel may be required &ndash; both domestic and international. The position is located at the NSSTC facility in Al Ain. Compensation based on experience level. Your responsibilities will include:
 
 
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 Interfacing with a multi-disciplinary team including professionals, faculty, graduate and undergraduate students
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 Documenting interfaces and requirements
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 Designing discipline-specific components for space flight applications
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 Modeling and analyzing designs of ground and space hardware
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 Performing other engineering tasks
 
 
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 Minimum Qualification
 
 
 Degree in electrical Engineering or related field
 
 
 
 Preferred Qualification
 
 
 
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 Experience with Microsoft Products (Word, Excel)
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 Computer Aided design tool knowledge as related to schematic design and PC Board layout
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 Experience creating discipline-specific documents for fabrication and assembly
 
 
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 Expected Skills
 
 
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 Ability to document assembly instructions
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 Ability to function well in a team based environment
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 Attention to detail
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 Resourcefulness and creativity
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 Ability to take personal responsibility for projects and work independently
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 Ability with English and Arabic language Desired but not required:
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 Demonstrated experience with electrical engineering tools related to FPGA programming
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 Familiarity with designing and packaging electro-mechanical systems for the space environment
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 Cleanroom experience
 
 
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 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 02/08/2026
 
 
 Apply
 
 
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Electrical Engineer

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 Job Description
 
 
 
 Prof. Mohamed Hamouda&rsquo;s Integrated Water Cycle Lab invites applications for a research associate starting September 2026 to work on a research project in the area of Remote Sensing of Water Quality. The role focuses on:
 
 
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 Processing and analysis of multi-sensor satellite data (e.g., MODIS, Sentinel, Landsat, PRISMA)
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 Integration of remote sensing and in-situ datasets
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 Development and implementation of machine learning and physics-informed models
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 Assisting in model validation, visualization, and development of early warning tools
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 Preparing technical reports, journal publications, and project documentation
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 Coordinating with research partners and supporting field campaigns
 
 
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 Minimum Qualification
 
 
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 Master&rsquo;s degree in Environmental Engineering, Civil Engineering, Remote Sensing, Data Science, or a related field (PhD preferred)
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 Minimum 1&ndash;3 years of research or industry experience in a relevant field
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 Experience in remote sensing data processing and GIS
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 Strong programming skills in Python, MATLAB, or R
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 Experience with machine learning techniques and data analysis
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 Strong technical writing and communication skills
 
 
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 Preferred Qualification
 
 
 
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 Experience with water quality modeling or oceanographic data
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 Familiarity with satellite platforms (MODIS, Sentinel, Landsat, hyperspectral data)
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 Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
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 Knowledge of physics-informed machine learning or environmental modeling
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 Experience working on projects in arid or coastal environments (UAE/Gulf region preferred)
 
 
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 Special Instructions to Applicant
 
 
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 Detailed CV
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 Cover letter outlining research experience
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 Copies of academic transcripts
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 Contact details of at least two referees
 
 
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 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 01/07/2026
 
 
 Apply
 
 
 Department
 
 
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 Posting Number
 
 
 Position Number
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Research Associate (Remote Sensing of Water Quality)

Join United Arab Emirates University, Department of Family Medicine and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

United Arab Emirates University, Department of Family Medicine

About Company

Research Data Scientist

Research Assistant

Electrical Engineer

Research Associate (Remote Sensing of Water Quality)